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Energy-Efficient Algorithms for Cooperative Scheduling and Control in Hierarchical Wireless Sensor Networks
|關鍵字:||無線傳感測網路;Wireless Sensor Networks;排程管理;拓撲控制;合作式目標追蹤;Scheduling Management;Topology Control;Cooperative Target Tracking||出版社:||電機工程學系所||引用:|| C.-Y. Wen and Y.-C. Chen, “Dynamic Hierarchical Sleep Scheduling for Wireless Ad-Hoc Sensor Networks,” Sensors, Special Issue on Wireless Sensor Technologies and Applications, vol. 9, no. 5, pp. 3908-3941, May 2009.  R. Choudhury and N. Vaidya, “Impact of Directional Antennas on Ad HocRouting,” Personal Wireless Communications, vol 2775, pp. 590-600, 2003.  X. Huang, J. Wang and Y. Fang, “Achieving Maximum Flow in Interference aware Wireless Sensor Networks with Smart Antennas,” Ad Hoc Networks, vol. 5:6, pp. 885-896, 2007.  C. Santivanez and J. Redi, “On the Use of Directional Antennas for Sensor Networks,” in Proc. of MILCOM, 2003.  X. Han, X. Cao, E. Lloyd et al., “Deploying Directional Sensor Networks with Guaranteed Connectivity and Coverage,” in Proc. of IEEE SECON, 2008.  M. A. Guvensan and A. G. 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為了維持無線感測網路運作的擴展性與穩定性，本研究提出高效能的管理與控制演算法，並將網路運作的設計原則分為兩個觀點進行討論：(1) 感測節點能源管理：為了解決感測排程的問題，本研究提出叢集式排程演算法，使各個感測節點利用區域性的資訊建立監測的範圍以及網路的連結，以實現動態感測睡眠排程的目的；(2) 高效能拓撲控制：本研究利用群集演算法架構、方向性天線、隨機時間計數器以及鄰近的資訊，建立自動化群集機制，並且整合群集控制以及方向性天線的優點，使無線感測網路得以建立完整的感測範圍與健全的網路傳輸連結。此外，本研究透過上述的兩觀點進一步探討無線感測網路在分散式目標追蹤的應用。透過以領導節點為中心的資訊處理架構，領導節點可根據鄰近感測節點的剩餘能源、目標的資訊以及目標追蹤的效能品質等資訊，以完成群組感測排程與合作式目標追蹤的任務。根據模擬結果顯示，本研究所提出的演算法均能在無線感測網路系統中提供高效率的排程與拓樸管理，進而延長網路運作的生命週期。
In order to provide scalability and robustness of the network, this dissertation presents energy-efficient algorithms for networked sensor tasking and control issues from two perspectives: (1) energy-balanced sensor tasking and (2) energy-efficient topology control. For the first perspective, we consider the sensor scheduling problem. The proposed hierarchical scheduling algorithms use a local criterion to simultaneously undertake the sensing coverage and connectivity such that dynamic cluster-based sleep scheduling can be achieved. For the second perspective, we focus on the network topology control problem with directional antennas. In the proposed clustering algorithm, directional antennas, random waiting timers, and a neighbor-based criterion are used to form clusters automatically. The solution combines the advantages of clustering and the strength of directional antennas to achieve both connectivity and sufficient coverage in wireless sensor networks. Referring to the above two perspectives, we further explore the target tracking problem and develop a fully distributed method for cooperative target positioning in wireless sensor applications. The concept of leader-based information processing is conducted to automatically achieve sensor scheduling with multiple tasking sensors in a cluster-based network topology based on sensor residual energy level, target information, and estimation quality. The simulation results show that the proposed algorithms can achieve significant energy conservation and perform effective topology management for wireless sensor networking systems.
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